I’m logging a table using wandb.log and wandb.Table. What I’m logging via wandb.Table is a pandas data frame and it has index of rows that aren’t simple numbers but a list of category. More specifically, the table is 10 rows (with 10 str names) x 2 columns.
But what I find in the wand db dashboard is a table that’s rendered without the row indices. Is there a good way to log such data frame?
Hey @minkoo-seo, this currently isn’t supported but is an active feature request. I’ll be sure to update you on this thread once progress arises on this.
You can call reset_index on the dataframe to get a new data frame with the index as a column and then log that to W&B.
import pandas as pd
import wandb
# 1. Create the DataFrame with 10 rows containing a string
data = {'Strings': ['string_{}'.format(i) for i in range(10)]}
df = pd.DataFrame(data)
# 2. Reset the DataFrame's index to create a new column
df_reset = df.reset_index()
# 3. Initialize W&B run, log the DataFrame, and end the run
wandb.init(project='my_project', name='df_logging_with_index')
wandb.log({'dataframe_table': wandb.Table(dataframe= df_reset)})
wandb.finish()