python x軸の変更

Question

x軸に「1：00　2：00　3：00　4：00　」と表示させたいのですが、どのようにすればよいか教えてください！

Time,a,b,c,d,e,f
1:00,27,27.4,27.7,27.4,27.3,27.2
2:00,26.8,27.1,27.5,27.4,27,26.9
3:00,26.6,27,27.3,27,26.8,26.6
4:00,26.5,26.7,27,26.7,26.6,26.4
5:00,26.5,26.7,26.9,26.7,26.5,26.3
6:00,27.4,27.4,28.2,28.1,27.6,26.6
7:00,28.4,28.6,30.5,30.9,30,27.9
8:00,30.4,30.4,32.7,33,32.4,29.6
9:00,30.3,31.7,34.4,34,34,32
10:00,30.7,32.4,34.3,34.6,34.3,33.8
11:00,31.7,32.4,32.8,34.2,35.3,34.6
12:00,32,33.3,34,34.6,34.1,34.5
13:00,30.9,33.7,34.2,34.4,33.9,35
14:00,31.6,33.3,33.8,33.5,33.8,34.9
15:00,30.9,33.3,33.6,33,33.2,34
16:00,30.5,32.8,33.1,32.3,32.4,34.1
17:00,29.4,31.3,31.8,31.3,32,33
18:00,28.6,29.8,30.4,29.9,30.6,31.9
19:00,27.9,29.1,29.3,29.3,29.6,30.7
20:00,27.4,28.3,28.5,28.7,28.9,29.6
21:00,27.3,28.4,28.3,28.5,28.6,29
22:00,27.1,28.1,28,28.3,28.3,28.6
23:00,27.2,27.7,27.8,27.9,28,28.1
0:00,26.9,27.8,27.7,27.7,27.7,27.6

import pandas as pd
from matplotlib import pyplot as plt


df = pd.read_csv("test80.csv", index_col="Time", parse_dates=["Time"])

ax = df.plot(figsize=(8, 5), title="Temperature Aug_01")
ax.set_xlabel("Time")
ax.set_ylabel("Temperature[℃]")
ax.grid(axis="y", c="gainsboro", zorder=9)

plt.savefig(r"sample.png", bbox_inches="tight")
plt.show()

Answer 1

import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import dates as mdates


df = pd.read_csv("test80.csv", index_col="Time", parse_dates=["Time"])

ax = df.plot(figsize=(8, 5), title="Temperature Aug_01")
ax.set_xlabel("Time")
ax.set_ylabel("Temperature[℃]")
ax.grid(axis="y", c="gainsboro", zorder=9)
ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))

plt.savefig(r"sample.png", bbox_inches="tight")
plt.show()

Comments

[o-fk]

ありがとうございます！

Answer 2

『目盛りの値を指定』

が参考になると思います。