PYTHON

pandas dataframe histogram

# in case if you want to mention Subplot size use layout argument
df.hist(figsize=(20,30), bins=20, layout=(15,4))

# don't forget to upvote :)

pandas plot histogram

ax = df.plot.hist(bins=12, alpha=0.5)

dataframe plot histogram

# plot all
df.hist(figsize=(20,30), bins=25, 
grid=False, figsize=(12,8), color='#86bf91', zorder=2, rwidth=0.9)

# plot specific columns
df.hist(column='columns')

# or
ax = df.hist(column='session_duration_seconds', bins=25, 
grid=False, figsize=(12,8), color='#86bf91', zorder=2, rwidth=0.9)

pandas plot date histogram

df.groupby([df["date"].dt.year, df["date"].dt.month]).count().plot(kind="bar")