BikeShare | Data Analys | Dataset library

I am having problems with the Numpy 1.18.5 version. I have the Python3.8 and they seem to be incompatible. I am working with Anaconda Navigator. So sorry if this is very basic but i am a beginner in this amazing world. Thanks a lot in advance. This is the message error i get:

I have TabView containing 2 entries....both trigger display of StationListView. The issue I have is that when I click on 2nd tab, the onAppear is being called twice (once each for the 2 instances) having the effect of data for 2nd tab showing, following shortly by data again for 1st tab.

I have created a Google script that pushes data every hour from the Capital Bikeshare API to a Google Sheet, but I have noticed that the way I am currently pulling the data doesn't maintain consistency over time. Here's the code I'm using:

I have an excel spreadsheet with some datetime data in a column. I exported the data into a dataframe using pandas. This column however has chunks of dates that have the month and day swapped, while there are other chunks of dates in the same column that are correct. Here's an example -

Figure 1: Day and month have been swapped incorrectly

The above picture shows the day and month swapped. The date shows 2016-01-10 but should instead be 2016-10-01. Compare this with another chunk of datetime values in the same column -

Figure 2: Day and month are correctly represented

In the above case in Figure 2, the month correctly represented as 12 and the day is 31.

I used the solution from this question - How to swap months and days in a datetime object?

I also tried using this solution - Python Pandas - Day and Month mix up

I also tried writing my own function to map to the entries but this was to no avail either -

I have my un-ejected expo app up and running and I've managed to build and run it successfully locally on both android and iOS without errors. However, when I try to publish the app I get the unable to resolve module error.

Here's the full error:

I am using the ggmap route function to calculate and visualize hundreds of routes using D.C. Capital Bikeshare data. I am successfully able to do this with one minor problem, the route path doesn't follow roads, particularly curved roads (see screenshot below). Is there a way to tweek my code to all for more detailed paths?

I'm working with the following dataset with hourly counts (df): The datframe has 8784 rows (for the year 2016, hourly).

I'd like to see if there are daily trends (e.g if there is an increase in the morning hours. For this i'd like to create a plot that has the hour of the day (from 0 to 24) on the x-axis and number of cyclists on the y axis (something like in the picture below from http://ofdataandscience.blogspot.co.uk/2013/03/capital-bikeshare-time-series-clustering.html).

I experimented with differet ways of pivot, resample and set_index and plotting it with matplotlib, without success. In other words, i couldn't find a way to sum up every observation at a certain hour and then plot those for each weekday

Any ideas how to do this? Thanks in advance!