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import pandas as pd
import numpy as np

mydata = pd.DataFrame({
    "Temp":[10,20,30,40,50],
    "Data":[123,323,335,567,886]
})

point_to_interpolate = 33

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Setting up a headless raspberry pi on wifi network

Things required

1. Raspberry pi (Tested on pi-zero-w and pi-3)
2. Raspbian stretch lite (Download)
3. Micro SD card (8 GB or more)
4. A computer with SD card reader connected to wifi
5. Etcher (Download)

Steps

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import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request

# If modifying these scopes, delete the file token.pickle.
SCOPES = ['https://www.googleapis.com/auth/photoslibrary.readonly']

creds = None

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items = []
nextpagetoken = None
# The default number of media items to return at a time is 25. The maximum pageSize is 100.
while nextpagetoken != '':
    print(f"Number of items processed:{len(items)}", end='\r')
    results = google_photos.mediaItems().list(pageSize=100, pageToken=nextpagetoken).execute()
    items += results.get('mediaItems', [])
    nextpagetoken = results.get('nextPageToken', '')

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import pandas as pd
# Convert the list of dict into a dataframe.
df = pd.DataFrame(items)

# Taking the column mediaMetadata and splitting it into individual columns
dfmeta = df.mediaMetadata.apply(pd.Series)

# Combining all the different columns into one final dataframe
photos = pd.concat(
    [

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# Convert the creation time to a datetime dtype
photos.creationTime = pd.to_datetime(photos.creationTime)

# Convert other numeric data into numeric dtypes
for c in ['width', 'height', 'apertureFNumber', 'focalLength', 'isoEquivalent']:
    photos[c] = pd.to_numeric(photos[c])

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from PIL import Image, ImageDraw

img = Image.new("RGB", (500, 500))
ic = ImageDraw.Draw(img)

ic.ellipse([0, 0, 500, 500], fill="RED")

img.save("basic.png")