bluff | contribute project for building an online multiplayer game | Game Engine library

I have a pandas DataFrame with cities and a separate list with multipliers for each city. I want to update the TaxAmount in the first df with the corresponding multiplier for each city, from the list.

My current code functions and runs fine but it sets the multiplier to being the same for all cities instead of updating to a new multiplier. So basically all the city's tax rates are the same when they should be different. Any suggestions on how to get this to work?

I have a spark dataframe with one column in particular location_string and I essentially just want to decompose this into 3 columns called country, region, and city. Then I want to coalesce these with the already existing country, region, city columns to ensure that the NULL values are filled. Or put another way, I want to apply my function to rows where city, region, or country are NULL, in an attempt to fill in those values using the location_string.

Example Dataset:

I am currently working on creating a distance matrix using Google Apps Script/javascript. At the moment, I currently have 50 addresses that I would like to sort into groups, based on their state codes.

I have filtered out the relevant state codes (Sheet name: 'Filtered States'). And I have filtered out the addresses that match those state codes (Sheet name: 'Filtered Addresses').

Now, my aim is to produce a script that compares the list of addresses against the state codes and sorts the addresses into arrays, depending on if the state codes match the filtered state codes.

I've written a script so far that is meant to crosscheck the addresses against the filtered state codes. However, the results provide a list of the addresses without any sorting taking place.

I was extracting codes from different parts of the internet and came up with this graph which is pretty close to what I wanted. However, I am quite new to coding in R and I have very little clue what some of the codes really mean, or how to fix a few of the aesthetics below.

My questions are:

1. How can I place the R-sq and p-values in the top right corner? Currently I am using stat_cor which only allows me to place the values according to the y axis.

2. How can I free the scale of the y axis for each variable, hence, ETRm, alpha, and Ek?

Thank for any pointers.

Here are my data and codes:

I stacked the bar plots from three different treatment together for comparison. However, I am having trouble putting the error bars in the right position.

I am not sure if my codes are correct since I have a feeling that this should be an easy fix. Any help would be appreciated.

I created two separate plots using ggplot and I would like to stack them vertically with a shared x-axis. I found a lot of examples for horizontal plots (like this one: drawing pyramid plot using R and ggplot2) so I am wondering how this can be done vertically.

These are the two graphs I created separately.

And this is how I want the plot to look like:

My data (combined) and the code I used to create the respiration plot I have (change in y_scale_continuous for y-axis range):

I have a dataframe that has JSON values are in columns. Those were indented into multiple levels. I would like to extract the end key and value into a new dataframe. I will give you sample column values below

{'shipping_assignments': [{'shipping': {'address': {'address_type': 'shipping', 'city': 'Calder', 'country_id': 'US', 'customer_address_id': 1, 'email': 'roni_cost@example.com', 'entity_id': 1, 'firstname': 'Veronica', 'lastname': 'Costello', 'parent_id': 1, 'postcode': '49628-7978', 'region': 'Michigan', 'region_code': 'MI', 'region_id': 33, 'street': ['6146 Honey Bluff Parkway'], 'telephone': '(555) 229-3326'}, 'method': 'flatrate_flatrate', 'total': {'base_shipping_amount': 5, 'base_shipping_discount_amount': 0, 'base_shipping_discount_tax_compensation_amnt': 0, 'base_shipping_incl_tax': 5, 'base_shipping_invoiced': 5, 'base_shipping_tax_amount': 0, 'shipping_amount': 5, 'shipping_discount_amount': 0, 'shipping_discount_tax_compensation_amount': 0, 'shipping_incl_tax': 5, 'shipping_invoiced': 5, 'shipping_tax_amount': 0}}, 'items': [{'amount_refunded': 0, 'applied_rule_ids': '1', 'base_amount_refunded': 0, 'base_discount_amount': 0, 'base_discount_invoiced': 0, 'base_discount_tax_compensation_amount': 0, 'base_discount_tax_compensation_invoiced': 0, 'base_original_price': 29, 'base_price': 29, 'base_price_incl_tax': 31.39, 'base_row_invoiced': 29, 'base_row_total': 29, 'base_row_total_incl_tax': 31.39, 'base_tax_amount': 2.39, 'base_tax_invoiced': 2.39, 'created_at': '2019-09-27 10:03:45', 'discount_amount': 0, 'discount_invoiced': 0, 'discount_percent': 0, 'free_shipping': 0, 'discount_tax_compensation_amount': 0, 'discount_tax_compensation_invoiced': 0, 'is_qty_decimal': 0, 'item_id': 1, 'name': 'Iris Workout Top', 'no_discount': 0, 'order_id': 1, 'original_price': 29, 'price': 29, 'price_incl_tax': 31.39, 'product_id': 1434, 'product_type': 'configurable', 'qty_canceled': 0, 'qty_invoiced': 1, 'qty_ordered': 1, 'qty_refunded': 0, 'qty_shipped': 1, 'row_invoiced': 29, 'row_total': 29, 'row_total_incl_tax': 31.39, 'row_weight': 1, 'sku': 'WS03-XS-Red', 'store_id': 1, 'tax_amount': 2.39, 'tax_invoiced': 2.39, 'tax_percent': 8.25, 'updated_at': '2019-09-27 10:03:46', 'weight': 1, 'product_option': {'extension_attributes': {'configurable_item_options': [{'option_id': '141', 'option_value': 167}, {'option_id': '93', 'option_value': 58}]}}}]}], 'payment_additional_info': [{'key': 'method_title', 'value': 'Check / Money order'}], 'applied_taxes': [{'code': 'US-MI--Rate 1', 'title': 'US-MI--Rate 1', 'percent': 8.25, 'amount': 2.39, 'base_amount': 2.39}], 'item_applied_taxes': [{'type': 'product', 'applied_taxes': [{'code': 'US-MI--Rate 1', 'title': 'US-MI--Rate 1', 'percent': 8.25, 'amount': 2.39, 'base_amount': 2.39}]}], 'converting_from_quote': True}

Above is single row value of the dataframe column df['x']

My codes are below to convert

In my Table sales_order_address there is 2 rows on each order, 1 record for billing to information and 2 is shipping to information. But I want to get billing and shipping address in column and single row.

You can see in screenshot Veronica6146 Honey Bluff ParkwayCaldershipping Veronica6146 Honey Bluff ParkwayCalderbilling in 2 rows how can I get into 1 column of a single row?

Iam getting the error as

"ValueError: Expected 2D array, got 1D array instead: array=[ 45000. 50000. 60000. 80000. 110000. 150000. 200000. 300000. 500000. 1000000.]. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample."

while executing the following code: