Pandas plot legend title

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Pandas를 전혀 사용할 필요가 없을 수도 있습니다. 다음은 고양이 주파수의 matplotlib 플롯입니다. x = np. linspace (0, 2 * np. pi, 400) y = np. sin (x ** 2) f, axes = plt. subplots (2, 1) for c, i in enumerate (axes): axes [c]. plot (x, y) axes [c]. set_title ('cats') plt. tight_layout —
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pandas - Makes python feel a bit like R, namely able to work with data frames and crunch data without getting too verbose about it. matplotlib - To give pandas plotting-superpowers. Here’s how you’d install it all: $ pip install pandas matplotlib requests furl
We're plotting a line chart, so we'll use sns.lineplot(): nyc_chart = sns. lineplot (x = "day", y = "temp", hue = 'year', data = nyc_df ). set_title ('NYC Weather Over Time') plt. show Create Seaborn chart. Take note of our passed arguments here: data is the Pandas DataFrame containing our chart's data. Plot two lines. Specify the legend labels during the plotting commands by setting the DisplayName property to the desired text. Then, add a legend. x = linspace (0,pi); y1 = cos (x); plot (x,y1, 'DisplayName', 'cos (x)' ) hold on y2 = cos (2*x); plot (x,y2, 'DisplayName', 'cos (2x)' ) hold off legend.
问题I am trying to plot a pandas groupby object using the code fil.groupby('imei').plot(x=['time'],y = ['battery'],ax=ax, title = str(i)) The problem is the plot legend lists ['battery']as the legend value. Given it's drawing a line for each item in the groupby object, it makes more sense to plot those values in the legend instead. See full list on
Understand df.plot in pandas. This page is based on a Jupyter/IPython Notebook: download the original .ipynb Building good graphics with matplotlib ain’t easy! The best route is to create a somewhat unattractive visualization with matplotlib, then export it to PDF and open it up in Illustrator.
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