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Managing Medicare patients in a new practice.
The challenge of starting a new practice as the sole providers of health care for the Medicare population differs from the challenges of managing a health maintenance organization (HMO) or group practice. Of particular concern is managing the payment for the many possible diagnostic and surgical procedures. The author gives basic information on how to start your own practice, as well as on the various products and services available from Medicare. He describes common billing problems and how to get rid of them. He identifies the mandatory products and services you must accept as your patient’s only “medical care.” He concludes by outlining the arrangements you will make for providing such care./*
* Copyright (c) 2020, Ilya Malanichev
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
https://colab.research.google.com/drive/1D14pejM6ykrt6I03RxnAgOwflsxtDoeo
https://colab.research.google.com/drive/14FntkgE1Zgd4jRAb7zEw-UyLNZnV126q
https://colab.research.google.com/drive/1VIH-hheyIKWKZyKnMwHF2rqc1pvwutdl
https://colab.research.google.com/drive/1RX_v3ymgvtIiUPSx_iKQzC8fliU3G9pd
https://colab.research.google.com/drive/1SWheV-a02mfDq_SWL31WGt2G5rKyCVfB
** AIO Advanced [7] ** Â .
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Q:
Boxplot side by side with seaborn
I want to plot multiple boxplots side by side, similar to image below. The thing is that I do not want to use the seaborn.boxplot function, since I need to put my boxplots into a separate figure, I also use matplotlib and want to use seaborn.
This is my present result.
What I want to do is to have the points on the right side of the boxplots to be not subplots, but actually just a normal scatter plot.
Below is the code I’m using.
fig, ax = plt.subplots(figsize=(15, 10))
plt.scatter([], [], s=60, c=x[:, 0])
plt.scatter([], [], s=60, c=x[:, 1])
plt.scatter([], [], s=60, c=x[:, 2])
plt.show()
In case it is not clear what I mean, an example of what I want can be seen in the image below.
A:
You can specify the position of the axes in matplotlib using the argument aspect which is by default set to equal. The subplot axes are equal by default. You can use that to create a figure that looks like the image you attached. You’ll have to specify the number of subplots that you want (in your case 4). I used the following to create your example image:
fig, axs = plt.subplots(ncols=4, n
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