Key learnings
- Use module
pprintto “pretty-print” a list - Use module
pandasto convert a list into a DataFrame - Add a new column to the DataFrame
- Rename a column name using
df.rename - Update column values (rows)
- Make a copy of the DataFrame using
df.copy - Append a DataFrame vertically to another one using
pd.concat([df1, df2]) - Save the DataFrame to a CSV file using
df.to_csv - Group a DataFrame by some columns using
df.groupby
View my project here!
Key learnings
- Append a DataFrame vertically to another one using
df1.append([df2]) - Convert strings to DateTime using
pd.to_datetime - Merge the DataFrame using
df.merge - Extract a component (year, month, etc.) of a DateTime column using
df['column'].dt.component - Pivot table with
df.pivot_table - Plot data using
df.plot - Use
set()to identify unique data - Get the last n rows of a sorted DataFrame using
df.nlargest
View my project here!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent