質問編集履歴
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情報の修正
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横軸に日付のデータを表示させたいです。
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株の時系列データをplotlyを使いグラフ描画させたいです。
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```ここに言語を入力
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import pandas as pd
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import io
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import cufflinks as cf
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import plotly.offline as offline
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import plotly.graph_objs as go
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df = pd.read_table("./stock.txt", names=["ID", "Date","Open","High","Low","Close"])
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del df['ID']
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qf = cf.QuantFig(df, name='Stock',labels=df["Date"])
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qf.iplot()
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```
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とコードを書き、実行すると
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のようにグラフ描画されました。
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しかし、x軸に日時のデータは表示されませんでした。
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```ここに言語を入力
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df["Date"]
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```
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をx軸にそれぞれの箱ひげ図のようなグラフの下に描画したいです。
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```ここに言語を入力
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qf = cf.QuantFig(df, name='Stock',xlabels=df["Date"])
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```
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と書き換えてもうまくいきませんでした。
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ど
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どうしたらいいですか？
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stock.txtは
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```ここに言語を入力
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"Date" "Open" "High" "Low" "Close"
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2010-04-01 3,615 3,615 3,580 3,585
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2010-04-02 3,570 3,620 3,570 3,590
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・
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・
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・
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```
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のようなデータ構造になっています。
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stock.txtは
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```ここに言語を入力
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"Date" "Open" "High" "Low" "Close"
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How can I show season data in x-axis？I am making a graph to plot stock's time series's data.I wrote codes,
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import pandas as pd
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import io
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import cufflinks as cf
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import plotly.offline as offline
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import plotly.graph_objs as go
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df = pd.read_table("./stock.txt", names=["ID", "Date","Open","High","Low","Close"])
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del df['ID']
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qf = cf.QuantFig(df, name='Stock',labels=df["Date"])
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qf.iplot()
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When I run the codes, stock series's graph is ploted like enter image description here
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But in x-axis,no time series's data is shown.I want to show df["Date"] in each graph.I rewrote
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qf = cf.QuantFig(df, name='Stock',xlabels=df["Date"])
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But time series's data is not shown.How should I write it? stock.txt has a data like
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```ここに言語を入力
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"Date" "Open" "High" "Low" "Close"
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