python - How do I make grid axes invisible for a pandas dataframe hist()? -


here want do, histogram plots of columns of dataframe without grid axes. below code works, preferably i'd more elegant solution (such passing argument hist)

%matplotlib inline import numpy np import pandas pd import matplotlib.pyplot plt  x = np.asarray([50]*25+[30]*10) x2 = np.asarray([90]*10+[20]*25) x3 = np.asarray([10]*15+[70]*20)  df = pd.dataframe(np.vstack([x, x2, x3]).t)   def plot_hists(df, nbins=10, figsize=(8, 8), disable_axis_labels = true):     plt.close('all')     grid_of_ax_hists = df.hist(bins=nbins, figsize=figsize)     if disable_axis_labels:         row in grid_of_ax_hists:             ax in row:                 ax.xaxis.set_visible(false)                 ax.yaxis.set_visible(false)     plt.show()      df.hist()     plt.subplots()  plot_hists(df, nbins=10, figsize=(8, 8), disable_axis_labels = true)

even thread kinda old, i'd add working solution because i've had same issue.

at least in pandas 0.18

df.hist() takes possible plotting keywords pandas.dataframe.plot

df.hist(grid=false)

works easily.. , there no need of dealing matplotlib axes.


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