Skip to content

Fix streamlit part 5 error: ArrowTypeError: ("Expected bytes, got a 'int' object", 'Conversion failed for column FG% with type object') #12

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Fix streamlit part 5 error: ArrowTypeError: ("Expected bytes, got a 'int' object", 'Conversion failed for column FG% with type object') #12

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
b38b71d
Add files via upload
HowardNTUST Sep 12, 2021
dc2c938
Add files via upload
HowardNTUST Sep 12, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion streamlit/part5/basketball_app.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,8 @@ def load_data(year):
raw = df.drop(df[df.Age == 'Age'].index) # Deletes repeating headers in content
raw = raw.fillna(0)
playerstats = raw.drop(['Rk'], axis=1)
for i in playerstats.filter(regex='%').columns:
playerstats[i] = playerstats[i].astype(float)
return playerstats
playerstats = load_data(selected_year)

Expand All @@ -43,6 +45,7 @@ def load_data(year):
st.write('Data Dimension: ' + str(df_selected_team.shape[0]) + ' rows and ' + str(df_selected_team.shape[1]) + ' columns.')
st.dataframe(df_selected_team)


# Download NBA player stats data
# https://discuss.streamlit.io/t/how-to-download-file-in-streamlit/1806
def filedownload(df):
Expand All @@ -65,4 +68,4 @@ def filedownload(df):
with sns.axes_style("white"):
f, ax = plt.subplots(figsize=(7, 5))
ax = sns.heatmap(corr, mask=mask, vmax=1, square=True)
st.pyplot()
st.pyplot(f)