Can I export a tensorflow summary to CSV?

Question

Is there a way to extract scalar summaries to CSV (preferably from within tensorboard) from tfevents files?

Example code

The following code generates tfeve

Answer 1

Just to add to @Spen

in case you want to export the data when you have varying numbers of steps. This will make one large csv file. Might need to change around the keys for it to work for you.

import os
import numpy as np
import pandas as pd

from collections import defaultdict
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
import glob
import pandas as pd
listOutput = (glob.glob("*/"))

listDF = []

for tb_output_folder in listOutput:
 print(tb_output_folder)
 x = EventAccumulator(path=tb_output_folder)
 x.Reload()
 x.FirstEventTimestamp()
 keys = ['loss', 'mean_absolute_error', 'val_loss', 'val_mean_absolute_error'] 

 listValues = {}

 steps = [e.step for e in x.Scalars(keys[0])]
 wall_time = [e.wall_time for e in x.Scalars(keys[0])]
 index = [e.index for e in x.Scalars(keys[0])]
 count = [e.count for e in x.Scalars(keys[0])]
 n_steps = len(steps)
 listRun = [tb_output_folder] * n_steps
 printOutDict = {}

 data = np.zeros((n_steps, len(keys)))
 for i in range(len(keys)):
     data[:,i] = [e.value for e in x.Scalars(keys[i])]

 printOutDict = {keys[0]: data[:,0], keys[1]: data[:,1],keys[2]: data[:,2],keys[3]: data[:,3]}

 printOutDict['Name'] = listRun

 DF = pd.DataFrame(data=printOutDict)

 listDF.append(DF)

df = pd.concat(listDF)
df.to_csv('Output.csv')