Display "july" plots on streamlit?

[Rohit_Chakraborty]

I was trying to integrate calendar heatmaps, and july package (july · PyPI) looks exactly like what I need. However, how do I get to display the plot? Sorry if this is a silly question.

Steps to reproduce

Code snippet:

import numpy as np
import matplotlib.pyplot as plt
import july
from july.utils import date_range

dates = date_range("2020-01-01", "2020-12-31")
data = np.random.randint(0, 14, len(dates))
july.month_plot(dates, data, month=5, date_label=True, ax=axes[0])

```st.write doesn't seem to work.

[Rohit_Chakraborty]

Never mind, I figured:
p = july.month_plot(dates, data, month=5, date_label=True, ax=axes[0])
st.pyplot(p.figure)

still error

[edsaac]

While st.pyplot expects a matplotlib Figure object, you pass the Axes to july where you want the heatmap plotted.

---

import streamlit as st
import numpy as np
import matplotlib.pyplot as plt
import july
from july.utils import date_range

## Create data
dates = date_range("2020-01-01", "2020-12-31")
data = np.random.randint(0, 100, len(dates))

## Create a figure with a single axes
fig, ax = plt.subplots()

## Tell july to make a plot in a specific axes
july.month_plot(dates, data, month=2, date_label=True, ax=ax, colorbar=True)

st.title("📊 A `july.month_plot()` in streamlit")
## Tell streamlit to display the figure
st.pyplot(fig)

---

Here is a diagram of the different elements in a matplotlib Figure → Anatomy of a figure — Matplotlib 3.6.2 documentation.

[Rohit_Chakraborty]

Thank you, that’s exactly it!