Reading and writting files with python using Dropbox

When developing with python people usually want to store some data. If this data is quite big and/or contains personal information it is not advised to store it in github (or other git providers). One good option is to store it in Dropbox.

Table of Contents

Open Table of Contents

• 1. Using dropbox with python
• 2. Working with BytesIO
• 3. Writting files to dropbox
  • 3.1. Write a text file
  • 3.2. Write a json
  • 3.3. Write a yaml
  • 3.4. Write an Excel with Pandas
  • 3.5. Write a csv with Pandas
• 4. Reading files
  • 4.1. Read a text file
  • 4.2. Read a json
  • 4.3. Read a yaml
  • 4.4. Read an Excel with Pandas
  • 4.5. Read a csv with Pandas
• 5. Deleting files
• 6. Working with other formats

1. Using dropbox with python

Dropbox has a really nice package that you can install with

pip install dropbox

It is not really difficult to use it but I noticed that every time I wanted to I had to look for old code. So I decided that I could create a post that explained everything.

The first thing to do is create an app inside dropbox since you cannot get a token without it. To do so go to Dropbox developers.

Register a new app that will use Dropbox API and will acces only the app folder. Once you have create the app go to the app settings page and create a token.

You can now store that secret in a safe way (for example as an environment variable or a hidden file).

2. Working with BytesIO

The key to write or read files is using io.BytesIO object.

As an example you can create this object with:

txt = "Hello World"

stream = io.BytesIO(txt.encode())
stream.seek(0)

# Here you do whatever you need

stream.close()

Or even better you can use the with statement so that you don’t need to close the stream:

txt = "Hello World"

with io.BytesIO(txt.encode()) as stream:
    stream.seek(0)

    # Here you do whatever you need

3. Writting files to dropbox

The first thing you need to do is to init the dropbox object with:

import io
import dropbox

DBX = dropbox.Dropbox(token)

After creating the DBX instance you can upload files using DBX.files_upload.

3.1. Write a text file

You will need to create the io.BytesIO object and upload it.

txt = "Hello World"

with io.BytesIO(txt.encode()) as stream:
    stream.seek(0)

    # Write a text file
    DBX.files_upload(stream.read(), "/test.txt", mode=dropbox.files.WriteMode.overwrite)

To allow overwriting you need to pass mode=dropbox.files.WriteMode.overwrite to the function DBX.files_upload.

3.2. Write a json

To write a dictionary-like file you can use the following:

import json

data = {"a": 1, "b": "hey"}

with io.StringIO() as stream:
    json.dump(data, stream, indent=4) # Ident param is optional

    stream.seek(0)

    DBX.files_upload(stream.read().encode(), "/test.json", mode=dropbox.files.WriteMode.overwrite)

3.3. Write a yaml

It is very similar to writting a json:

import yaml

data = {"a": 1, "b": "hey"}

with io.StringIO() as stream:
    yaml.dump(data, stream, default_flow_style=False)

    stream.seek(0)

    DBX.files_upload(stream.read().encode(), "/test.yaml", mode=dropbox.files.WriteMode.overwrite)

This time we are encoding the stream to transform it to bytes.

3.4. Write an Excel with Pandas

import pandas as pd

df = pd.DataFrame([range(5), list("ABCDE")])

with io.BytesIO() as stream:

    with pd.ExcelWriter(stream) as writer:
        df.to_excel(writer)
        writer.save()
    
    stream.seek(0)

    DBX.files_upload(stream.getvalue(), "/test.xlsx", mode=dropbox.files.WriteMode.overwrite)

The key is to use the ExcelWriter from pandas.

3.5. Write a csv with Pandas

Unfortunatelly it is not possible to dump a csv directly with Pandas into a StringIO at this time (More info: Pandas issue 22555)

However there is a workaround:

df = pd.DataFrame([range(5), list("ABCDE")])

data = df.to_csv(index=False) # The index parameter is optional

with io.BytesIO(data.encode()) as stream:
    stream.seek(0)

    DBX.files_upload(stream.read(), "/test.csv", mode=dropbox.files.WriteMode.overwrite)

4. Reading files

To read a file you can use DBX.files_download. This will return some metadata as the first parameter and the result of the API call as the second.

4.1. Read a text file

_, res = DBX.files_download("/test.txt")

res.raise_for_status()

with io.BytesIO(res.content) as stream:
    txt = stream.read().decode()

4.2. Read a json

_, res = DBX.files_download("/test.json")

with io.BytesIO(res.content) as stream:
    data = json.load(stream)

4.3. Read a yaml

_, res = DBX.files_download("/test.yaml")

with io.BytesIO(res.content) as stream:
    data = yaml.safe_load(stream)

4.4. Read an Excel with Pandas

_, res = DBX.files_download("/test.xlsx")

with io.BytesIO(res.content) as stream:
    df = pd.read_excel(stream, index_col=0)

4.5. Read a csv with Pandas

_, res = DBX.files_download("/test.csv")

with io.BytesIO(res.content) as stream:
    df = pd.read_csv(stream, index_col=0)

5. Deleting files

To delete a file simply call DBX.files_delete(filename).

6. Working with other formats

With this post you should have enough to work with dropbox using python. However, if you need to work another format look on how to create a StringIO object that represent this format.