Matplotlib multiple Y-axes, xlabels disappear?

Matplotlib multiple Y-axes, xlabels disappear?

By : deimonwing
Date : October 19 2020, 08:10 AM
it fixes the issue I am working with Python 3.x to generate boxplots using matplotlib. , Try this to set your xaxis ticks:
code :
l1 = [32107.0,20490.0, 32107.0, 22134.0,31564.0, 32107.0, 22134.0, 20732.0, 20490.0, 28406.0]

l2 = [54.4, 40.2, 54.4, 41.1, 49.4, 54.4, 41.1, 37.0, 40.2, 34.2]

l3 = [4595.0, 2164.0, 4595.0, 3500.0, 3733.0, 4595.0, 3500.0, 3214.0, 2164.0, 3388.0]

l4 = [4868.0, 2289.0, 4868.0, 3652.0, 4128.0, 4868.0, 3652.0, 3418.0, 2289.0, 3980.0]

l5 = [3777.0, 1623.0, 3777.0, 2456.0, 3010.0, 3777.0, 2456.0, 2318.0, 1623.0, 2677.0]

df2 = pd.DataFrame(
    {'l1' : l1,
     'l2' : l2,
     'l3': l3,
     'l4' : l4,
     'l5' : l5})
fig, ax = plt.subplots(figsize=(5, 3))

ax2 = ax.twinx()
ax2.boxplot(df2['l2'], positions = [2])
ax3 = ax.twinx()
# ax3.boxplot(df2[['l3','l4','l5']], positions = [3,4,5])
df2[['l3','l4','l5']].plot.box(positions=[3,4,5], ax=ax3)
ax.set_xlim(0, 7)
_ = ax3.xaxis.set_ticks([1,2,3,4,5])
_ = ax3.xaxis.set_ticklabels(['l1','l2','l3','l4','l5'])

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loglog plot with matplotlib in pyqt - axes disappear

loglog plot with matplotlib in pyqt - axes disappear

By : jose galera
Date : March 29 2020, 07:55 AM
around this issue This is probably because your x-range includes 0. True log scales can't reach 0. If you want to include 0, you'll need to use 'semilog' instead.
Judging from the error message you're getting, I'd bet you're using a fairly old release of matplotlib? For what it's worth, in newer versions, including 0 will cause the scale to be automatically changed to semilog instead of log.
code :
self.axes.set(xscale='semilog', yscale='semilog')
Matplotlib setting xlabels

Matplotlib setting xlabels

By : Leandro Hagen
Date : March 29 2020, 07:55 AM
will be helpful for those in need I'm having trouble setting the x/ylabel for my matplotlib plot, which is using data from a sql query. , Pass the argument ax to df.plot,
code :
fig, ax = plt.subplots()

df.plot(kind='bar', ax=ax, title="BirthMonthCounts", figsize=(15,10), legend=False, fontsize=12, x='BirthMonth', y='Cnt', xticks='BirthMonth')
Is there any way to assign multiple xlabels at once in matplotlib?

Is there any way to assign multiple xlabels at once in matplotlib?

By : Smile Heart
Date : March 29 2020, 07:55 AM
I hope this helps . I want to assign multiple xlabels at once in matplotlib. Now I assign multiple xlabels as follows. , You may use a list comprehension.
code :
[ax.set_xlabel("x label") for ax in [ax1,ax2]]
fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, subplot_kw=dict(xlabel="xlabel") )
Defining xlabels with set() and changing bottom arg inside subplots_adjust() matplotlib will modify xlabels order

Defining xlabels with set() and changing bottom arg inside subplots_adjust() matplotlib will modify xlabels order

By : Scarlie
Date : March 29 2020, 07:55 AM
may help you . I have this two Dataset to plot: , The problem
The xlabels change position due to set.
code :
customer_list=lwm['Client name'] 
customer_list=set(lwm['Client name'])
test1=lwm.sort_values(by=['CTR'], ascending=False)
test2=pwm.sort_values(by=['CTR'], ascending=False)
customer_list2=test1['Client name']
matplotlib multiple overlapping xlabels in 2 levels

matplotlib multiple overlapping xlabels in 2 levels

By : user3722270
Date : March 29 2020, 07:55 AM
may help you . I'm trying to find a solution to a situation where I have multiple xlabels in the plot, which I cannot give up any. , Two approaches
code :
import numpy as np
import matplotlib.pyplot as plt

# call this function in xticks parameters
def transform_xlabels(xlabels):
    return ('\n\n%s' % label if i % 2 else label for i, label in enumerate(xlabels))

N = 5
menMeans = (20, 35, 30, 35, 27)
womenMeans = (25, 32, 34, 20, 25)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
ind = np.arange(N)    # the x locations for the groups
width = 0.35       # the width of the bars: can also be len(x) sequence

p1 = plt.bar(ind, menMeans, width, yerr=menStd)
p2 = plt.bar(ind, womenMeans, width,
             bottom=menMeans, yerr=womenStd)

plt.title('Scores by group')
test = 'G1 abc \ndaido misco iso'
xlabels = ('G1 %s' % test, 'G2 %s' % test, 'G3 %s'  % test, 'G4 %s'  % test, 'G5 %s'  % test)

# function is called
plt.xticks(ind, transform_xlabels(xlabels))
plt.yticks(np.arange(0, 81, 10))
plt.legend((p1[0], p2[0]), ('Men', 'Women'))

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