I am trying to plot a moving average plot, data is all fine.
The problem I have is with the x-axis labels, the labels are all overlapping although I have already rotated it to 90 deg.
Increasing the width of the image upon a certain point only increases the leftmost and rightmost column instead of evenly distributing the width of all of the columns.
The labels are not numerical, it is a string consisting of both numbers and characters, for example : 0424NA581G
Is it possible to
- plot the x-axis labels by certain intervals? Data points all need to remain but I can afford to let go of the axis labels
I have tried this solution but it turns my labels into 0,5,10,15 etc. and not my original labels
- To evenly distribute the column width so that by simply increasing the image size I can resolve this issue.
Thank you !
sns.set_context('talk')
plt.figure(figsize=(50,10))
# Time-series plot
sns.lineplot(x='batch_no',
y='hardness',
label='Daily',
data=df_NA,
ci=None)
# Rolling average plot
sns.lineplot(x='batch_no',
y='7_batch_average',
label='7-batch average',
data=df_NA,
ci=None)
plt.xlabel("Date")
plt.ylabel("NA hardness")
plt.xticks(rotation="90")
my plot
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