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```
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The default interactive shell is now zsh.
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To update your account to use zsh, please run `chsh -s /bin/zsh`.
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For more details, please visit https://support.apple.com/kb/HT208050.
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toko/opt/anaconda3/bin/activateAir:kivy sandairisatoko$ source /Users/sandairisa
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/Users/sandairisatoko/opt/anaconda3/envs/Kivy/bin/python /Users/sandairisatoko/Desktop/kivy/image/vanalysis09.py
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(base) sandairisatokonoMacBook-Air:kivy sandairisatoko$ /Users/sandairisatoko/opt/anaconda3/envs/Kivy/bin/python /Users/sandairisatoko/Desktop/kivy/image/vanalysis09.py
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conda activate Kivy
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/Users/sandairisatoko/opt/anaconda3/envs/Kivy/bin/python /Users/sandairisatoko/Desktop/kivy/image/vanalysis09.py
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File "/Users/sandairisatoko/Desktop/kivy/image/vanalysis09.py", line 56, in <module>
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ax.hist(X.iloc[:,i], bins=10, color='#000000')
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/__init__.py", line 1447, in inner
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return func(ax, *map(sanitize_sequence, args), **kwargs)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 6576, in hist
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self._process_unit_info(xdata=x[0], kwargs=kwargs)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2189, in _process_unit_info
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kwargs = _process_single_axis(xdata, self.xaxis, 'xunits', kwargs)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2172, in _process_single_axis
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axis.update_units(data)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axis.py", line 1466, in update_units
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default = self.converter.default_units(data, self)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/category.py", line 107, in default_units
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/category.py", line 211, in update
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cbook._check_isinstance((str, bytes), value=val)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/cbook/__init__.py", line 2251, in _check_isinstance
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(base) sandairisatokonoMacBook-Air:kivy sandairisatoko$ conda activate Kivy
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(Kivy) sandairisatokonoMacBook-Air:kivy sandairisatoko$ /Users/sandairisatoko/opt/anaconda3/envs/Kivy/bin/python /Users/sandairisatoko/Desktop/kivy/image/vanalysis09.py
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Traceback (most recent call last):
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File "/Users/sandairisatoko/Desktop/kivy/image/vanalysis09.py", line 56, in <module>
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/__init__.py", line 1447, in inner
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return func(ax, *map(sanitize_sequence, args), **kwargs)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 6576, in hist
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2189, in _process_unit_info
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 2172, in _process_single_axis
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/axis.py", line 1466, in update_units
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/category.py", line 107, in default_units
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/category.py", line 176, in __init__
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/category.py", line 211, in update
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cbook._check_isinstance((str, bytes), value=val)
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File "/Users/sandairisatoko/opt/anaconda3/envs/Kivy/lib/python3.6/site-packages/matplotlib/cbook/__init__.py", line 2251, in _check_isinstance
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type_name(type(v))))
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TypeError: 'value' must be an instance of str or bytes, not a float
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(Kivy) sandairisatokonoMacBook-Air:kivy sandairisatoko$
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### 該当のソースコード
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書式の改善
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### 発生している問題・エラーメッセージ
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```
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エラーメッセージ
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```
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### 該当のソースコード
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```ここに言語名を入力
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ソースコード
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#-*- coding: utf-8 -*-
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# matplotlibで作図する練習06：いろいろな度数分布図を描く（複数グラフ）
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# システム関係のコマンドライブラリ
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import sys
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# データベースライブラリ pandas
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# 計算用のライブラリ numpy
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# 作図ライブラリ matplotlib
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import matplotlib.pyplot as plt
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# 日本語フォントを設定するためのライブラリ
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from matplotlib.font_manager import FontProperties
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fp = FontProperties(fname=r'./fonts/mplus-2p-black.ttf', size=10)
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# figureオブジェクトを生成する
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fig = plt.figure()
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# データを読み込む
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try:
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ramen = pd.read_csv('./data/ramen.csv')
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except:
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print('Data File Read Error: Exit')
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sys.exit()
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# 前回の課題からの再利用：度数分布を作成する対象のみを抜き出したデータフレームをつくる
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X = ramen.loc[:, ['Brand','Variety','Style','Country','Stars','Top Ten']]
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# 作図用に日本語のラベルをつくる
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ramen_vnames=['雰囲気','清潔さ','設備','場所','安全','スタッフ','値打ち感']
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# figureを生成する：普通の棒グラフを使った度数分布
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fig, axes = plt.subplots(3,3)
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cmax = len(X.columns)
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for i, ax in enumerate(axes.flat):
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if i >= cmax:
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break
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else:
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#sns.violinplot(X.iloc[:,i], showmedians=True, color='#ED7D31', ax=ax)
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ax.hist(X.iloc[:,i], bins=10, color='#000000')
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#ax.boxplot(X.iloc[:,i], showfliers=False, patch_artist=True, boxprops=dict(facecolor='#70AD47'))
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ax.set_title(ramen_vnames[i], fontproperties=fp)
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ax.set_xlabel('評定値', fontproperties=fp,color='#70AD47')
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ax.set_ylabel('度数', fontproperties=fp, color='#70AD47')
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# 余白を調整する
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plt.subplots_adjust(wspace=0.6, hspace=1.0)
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# 表示する
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plt.show()
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```
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エラーメッセージ
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```
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### 該当のソースコード
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```ここに言語名を入力
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ソースコード
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#-*- coding: utf-8 -*-
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# matplotlibで作図する練習06：いろいろな度数分布図を描く（複数グラフ）
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# システム関係のコマンドライブラリ
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# データベースライブラリ pandas
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import pandas as pd
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# 計算用のライブラリ numpy
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# 作図ライブラリ matplotlib
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import matplotlib.pyplot as plt
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# 日本語フォントを設定するためのライブラリ
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|
76
|
-
|
|
77
|
-
from matplotlib.font_manager import FontProperties
|
|
78
|
-
|
|
79
|
-
fp = FontProperties(fname=r'./fonts/mplus-2p-black.ttf', size=10)
|
|
80
|
-
|
|
81
|
-
|
|
82
|
-
|
|
83
|
-
# figureオブジェクトを生成する
|
|
84
|
-
|
|
85
|
-
fig = plt.figure()
|
|
86
|
-
|
|
87
|
-
|
|
88
|
-
|
|
89
|
-
|
|
90
|
-
|
|
91
|
-
# データを読み込む
|
|
92
|
-
|
|
93
|
-
try:
|
|
94
|
-
|
|
95
|
-
ramen = pd.read_csv('./data/ramen.csv')
|
|
96
|
-
|
|
97
|
-
except:
|
|
98
|
-
|
|
99
|
-
print('Data File Read Error: Exit')
|
|
100
|
-
|
|
101
|
-
sys.exit()
|
|
102
|
-
|
|
103
|
-
|
|
104
|
-
|
|
105
|
-
# 前回の課題からの再利用：度数分布を作成する対象のみを抜き出したデータフレームをつくる
|
|
106
|
-
|
|
107
|
-
|
|
108
|
-
|
|
109
|
-
X = ramen.loc[:, ['Brand','Variety','Style','Country','Stars','Top Ten']]
|
|
110
|
-
|
|
111
|
-
|
|
112
|
-
|
|
113
|
-
# 作図用に日本語のラベルをつくる
|
|
114
|
-
|
|
115
|
-
|
|
116
|
-
|
|
117
|
-
ramen_vnames=['雰囲気','清潔さ','設備','場所','安全','スタッフ','値打ち感']
|
|
118
|
-
|
|
119
|
-
|
|
120
|
-
|
|
121
|
-
|
|
122
|
-
|
|
123
|
-
# figureを生成する：普通の棒グラフを使った度数分布
|
|
124
|
-
|
|
125
|
-
|
|
126
|
-
|
|
127
|
-
fig, axes = plt.subplots(3,3)
|
|
128
|
-
|
|
129
|
-
|
|
130
|
-
|
|
131
|
-
cmax = len(X.columns)
|
|
132
|
-
|
|
133
|
-
|
|
134
|
-
|
|
135
|
-
|
|
136
|
-
|
|
137
|
-
for i, ax in enumerate(axes.flat):
|
|
138
|
-
|
|
139
|
-
if i >= cmax:
|
|
140
|
-
|
|
141
|
-
break
|
|
142
|
-
|
|
143
|
-
else:
|
|
144
|
-
|
|
145
|
-
#sns.violinplot(X.iloc[:,i], showmedians=True, color='#ED7D31', ax=ax)
|
|
146
|
-
|
|
147
|
-
|
|
148
|
-
|
|
149
|
-
ax.hist(X.iloc[:,i], bins=10, color='#000000')
|
|
150
|
-
|
|
151
|
-
#ax.boxplot(X.iloc[:,i], showfliers=False, patch_artist=True, boxprops=dict(facecolor='#70AD47'))
|
|
152
|
-
|
|
153
|
-
|
|
154
|
-
|
|
155
|
-
|
|
156
|
-
|
|
157
|
-
ax.set_title(ramen_vnames[i], fontproperties=fp)
|
|
158
|
-
|
|
159
|
-
ax.set_xlabel('評定値', fontproperties=fp,color='#70AD47')
|
|
160
|
-
|
|
161
|
-
ax.set_ylabel('度数', fontproperties=fp, color='#70AD47')
|
|
162
|
-
|
|
163
|
-
|
|
164
|
-
|
|
165
|
-
|
|
166
|
-
|
|
167
|
-
|
|
168
|
-
|
|
169
|
-
|
|
170
|
-
|
|
171
|
-
# 余白を調整する
|
|
172
|
-
|
|
173
|
-
plt.subplots_adjust(wspace=0.6, hspace=1.0)
|
|
174
|
-
|
|
175
|
-
|
|
176
|
-
|
|
177
|
-
# 表示する
|
|
178
|
-
|
|
179
|
-
plt.show()
|
|
180
|
-
|
|
181
|
-
|
|
182
|
-
|
|
183
|
-
```
|
|
184
|
-
|
|
185
187
|
|
|
186
188
|
|
|
187
189
|
### 試したこと
|
2
誤字
test
CHANGED
|
File without changes
|
test
CHANGED
|
File without changes
|
1
書式の改善
test
CHANGED
|
@@ -1 +1 @@
|
|
|
1
|
-
度数分布表の表示
|
|
1
|
+
csvファイルから度数分布表の表示したい
|
test
CHANGED
|
File without changes
|