Is your feature request related to a problem? Please describe.
Currently, when building the docs using the make docs command, many errors and warnings are being raised. This makes the deployment really difficult because we can't know for sure that the docs are not broken.

Describe the solution you'd like
The required solution would be that the build process of the docs will contain

Describe the bug
pa.errors.SchemaErrors.failure_cases only returns the first 10 failure_cases

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of pandera. 0.6.5
• (optional) I have confirmed this bug exists on the master branch of pandera.

Note: Please read [this guide](https://matthewrocklin.c

For pipeline stages provided by the pdpipe.basic_stages, supplying conditions to the prec and post keyword arguments may not return the correct error messages.

Example Code

import pandas as pd; import pdpipe as pdp;
df = pd.DataFrame([[1,4],[4,5],[1,11]], [1,2,3], ['a','b'])
pline = pdp.PdPipeline([
  pdp.FreqDrop(2, 'a', prec=pdp.cond.HasAllColumns(['x']))
])
pline.apply(

Description

It would be nice to provide API which allows to specify the Azure credentials in the code. Currently the Azure storage implementation only relies on the environment variables, which makes it difficult to access two independent storages in the same program. In case of AWS S3 the problem does not exists because the API allows to use a custom rusoto S3 client with a static credentials