Real time face detection OpenCV, Python.Get Public URL for File - Google Cloud Storage - App Engine (Python).is it possible to add colors to python output?.Comparing a variable with a string python not working when redirecting from bash script.Why my regexp for hyphenated words doesn't work?.Is there a way to view two blocks of code from the same file simultaneously in Sublime Text?.Sc = ax.scatter(df, df, marker = 'o', c = index, alpha = 0.8)Īx.legend(sc.legend_elements(), labels) Labels, index = np.unique(df, return_inverse=True) In case the keys were not directly given as numbers, it would look as import numpy as np Sc = ax.scatter(df, df, marker = 'o', c = df, alpha = 0.8) Index = pd.date_range('', freq = 'M', periods = 10), The advantage is that a single scatter call can be used.ĭf = pd.DataFrame(np.random.normal(10,1,30).reshape(10,3), An example is shown in Automated legend creation. (pd._stylesheet)Ĭolors = pd.otting._get_standard_colors(len(groups), color_type='random')įrom matplotlib 3.1 onwards you can use. (I'm also tweaking the legend slightly): import matplotlib.pyplot as plt
PANDAS PLOT SCATTER USE INDEX UPDATE
If you'd like things to look like the default pandas style, then just update the rcParams with the pandas stylesheet and use its color generator. Labels = np.random.choice(, num)ĭf = pd.DataFrame(dict(x=x, y=y, label=labels))Īx.margins(0.05) # Optional, just adds 5% padding to the autoscalingĪx.plot(group.x, group.y, marker='o', linestyle='', ms=12, label=name) For example: import matplotlib.pyplot as plt It's better to just use plot for discrete categories like this.
You can use scatter for this, but that requires having numerical values for your key1, and you won't have a legend, as you noticed.
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