Hi,
I’m a new streamlit user, i’m making my first dashboard and I have a problem with the size of one of my plots
This is the code
fig = plt.plot(dfpatient2[‘Datetime’], dfpatient2[select])
plt.gcf().autofmt_xdate()
st.pyplot()
And this is a screenshot of my problem (the plot is too big…)
Thanks
Hi @Nabs33, welcome to the Streamlit community!!
![:partying_face: :partying_face:](https://emoji.discourse-cdn.com/google/partying_face.png?v=9)
As you would with any matplotlib figure, you can customize the size of the figure by specifying the width and height (in inches) to the figsize
parameter of plt.figure()
. E.g. fig = plt.figure(figsize=(7,3))
.
Here’s example showing how to set a custom figsize when plotting from a dataframe ts
:
import streamlit as st
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# set figsize globally with plt.rcParams["figure.figsize"] = (7, 3)
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
fig = plt.figure(figsize=(7,3)) # try different values
ax = plt.axes()
ax.plot(ts) # replace with ax.plot(dfpatient2[‘Datetime’], dfpatient2[select])
plt.gcf().autofmt_xdate()
st.pyplot(fig)
You can experiment with different values in figsize
to see what works best for your use case. Let us know if this helps!
Happy Streamlit-ing! ![:balloon: :balloon:](https://emoji.discourse-cdn.com/google/balloon.png?v=9)
Snehan
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