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Table of Contents

1. Introduction
2. Count
   1. Getting the count of a particular column
   2. Getting the count of all columns
3. Getting maximum or minimum
   1. Maximum
   2. Minimum
4. Mean
5. Median
6. Mode
7. Standard Deviation
8. Getting the information
   1. describe function
   2. info function
9. Video Tutorial

1. Introduction

The min function of pandas helps us in finding the minimum values on specified axis.

In this session, the most common methods to obtain statistics of a record will be discussed. These methods are count, min, max, mean, meadian, mode, standard deviation. The basic meaning of some methods are

1. Mean – Average value of given values
2. Median – Middle value
3. Mode – Most repeated value
4. Standard Deviation – For each of the value subtracted by mean and square, and divide the values by number of values then apply the square root

Pandas finding local max and min. Ask Question Asked 3 years, 3 months ago. Active 2 months ago. Viewed 27k times 34. I have a pandas data frame with two columns one is temperature the other is time. I would like to make third and fourth columns called min and max. Each of these columns would be filled with nan's except where there is a. In this tutorial, we will learn the Python pandas DataFrame.min method. This method can be used to get the minimum of the values over the requested axis. It returns Series and if the level is specified, it returns the DataFrame. The below is the syntax of the DataFrame.min method.

In order to start the practical, open Jupyterlab and launch a Jupyter notebook

Import Pandas and then read the csv file “car_sales.csv” and execute the data frame as shown in figure 1.

2 Count

In order to find out the number of records present in the data set, count()function can be used. The data frame name should be specified when using this function

2.1 Getting the count of a particular column

The number of records in a particular column can be printed by specifying the data frame, the column name with the count function as shown in figure 2. Assume that the count of the records in the Quantity column is needed to be printed out.

Please note that the count function doesn’t take null values to the account. In order to demonstrate this, delete a value in the count column (in here the first cell of the Quantity column is deleted) and re-import the file. Then, again execute the code. As shown in figure 3, it can be seen that now the count is 9. Because the first cell is a null value.

2.2 Getting the count of all columns

Please note that in the previous section we specified the column name. But, if we don’t specify it, column-wise records count can be obtained. See figure 4, the function count is used after the frame.

3 Getting the maximum or minimum

3.1 Maximum

The max() function can be used to find out the maximum value in a column.

1. First, let’s find the maximum value in the Quantity column. (Please change the first cell value back to 2884 as we put it as null in the previous section) Specify the data frame and then the column name with the max function as shown in figure 5.
2. If we want to find the column-wise max value, remove the column name from the code, and execute it. As you can see in figure 5, it gives the max value of each column. The max value of the Make column is Volvo because Vis the maximum character when it comes to A-Z. Refer the figure 6 to observe the data set.

3.2 Minimum

The minimum can be taken in the same way we have done with the max function. But in order to take the minimum, we gave to use the min() function. Figure 7shows getting minimum of all the columns. Refer to figure 6 to verify whether the printed values are correct.

4 Mean

The mean is the average value of a given set of values. The mean can be calculated by using the mean() function. As the functions we discussed previously this function can be used to get the mean of a particular column or all the columns.

1. Assume that we need to calculate the mean of the Quantity column. First, specify the data frame (car_sales), then the column name(Quantity). Then use the mean function as shown in figure 8.

To get the column-wise mean, remove the column name from the above code. Then execute it as shown in figure 9. Observe that the mean of the Make column is not shown. This is because it automatically detects that, the column contains strings.

5. Median

Median is the middle value of a given data set. The median can be calculated using the median()function. Specify the data frame you want to find the median and then use the median function. As discussed in the above sections, this function also can be used to find out the median of a particular column or all the columns (figure 10).

6 Mode

The mode is the most repeated value of a given data set. The mode can be obtained using the mode() function. This can be used for a particular column.

To clearly obtain the mode, lets first change multiple cell values to 2884 as shown in the figure 11.

Then let’s find the mode of the Quantity column. First specify the data frame, and then column and at last put the mode() function as shown in figure 12 and execute it. As you can see the mode is shown as 2884.

For demonstration purposes now let’s put mode() function to all the columns as shown in figure 13 and execute it. It can be observed that for Year column mode is 2007 there is no other hence shows as NaN. For both Pct and the Quantity column, there are no repeated values hence shows all the values. The Price column mode is 12090 hence it shows in the first cell and the other cells in that column are NaN.

Let’s assume that there are no repeated values in the quantity column, and then execute the code to calculate the mode of the column: Quantity. As shown in the figure 14, it outputs all the values in that column as there is no mode.

As another example execute the mode for the Pct column and it returns all the values in that column as well. As shown in figure 15 there is no mode.

7 Standard Deviation

In the same way as the other functions are used, in order to find the Standard Deviation std()function can be used.

In order to calculate the standard deviation of the Quantity column, Specify the data frame you want to find the std and then the column name, and lastly, use the std function as shown in figure 16.

Column wise std can be obtained if we remove the column name. This is shown in figure 17.

8 Getting the information

There are two functions that can be used to obtain the statistical or concise summary of the data frame. They are the describe() and info() functions.

8.1 Describe function

Rather than column-wise obtaining the mode, median, std, etc. using the relevant functions, describe() function can be used. It gives the summarized version of the calculated mode, median, std, max, min, percentile values as shown in figure 18.

8.2 info function

The info() function can be used to get a summary of index and column data types, non-null values, and the memory usage as shown in figure 19.

This Minecraft tutorial explains all about pandas with screenshots and step-by-step instructions. Let's learn about pandas in Minecraft.

Supported Platforms

Pandas are available in the following versions of Minecraft:

* The version that it was added or removed, if applicable.
NOTE: Pocket Edition (PE), Xbox One, PS4, Nintendo Switch, and Windows 10 Edition are now called Bedrock Edition. We will continue to show them individually for version history.

Background

The following is a picture of what a panda looks like in Minecraft:

Hostility Level (Passive/Neutral)

A panda is that is a normal, lazy, worried, playful, weak or brown panda type is a passive mob and will never attack you in the game (Creative or Survival mode). A panda that is an aggressive panda type is a neutral mob and will attack you in Survival mode if you attack first. It will never attack you in Creative mode.

The term mob is short for mobile and is used to refer to all living, moving creatures in the game such as chickens, creepers, and pandas.

Health Points

In Minecraft, a panda has 10 hearts for health. This gives a panda 20 health points (because 1 heart = 2 health points). To kill a panda, you need to inflict 20 points of damage to the panda.

Where to Find Pandas

In Minecraft, you can find pandas in the Bamboo Jungle biome.

Pandas can be persuaded to follow you if you hold bamboo.

If you are having trouble finding a panda, you can summon a panda using a cheat or you can use a spawn egg.

Weapon

A panda does not carry a weapon.

Attack Method

You are safe to walk near a panda and it will not attack or cause you any damage. And if you attack a panda, it will just try to run away. It will not attack you back.

Drops

When you kill a panda in Minecraft, it may drop bamboo.

Make sure you pick up any dropped items before they disappear. They are useful and should be kept in your inventory to be used later.

Experience Points

As you play the game, you will gain experience. The most common way to gain experience is by killing mobs. When a mob is killed you will see tiny green and yellow balls appear and move towards you.

These orbs represent experience points. When you kill a panda, you will gain 1-3 experience points.

Types of Pandas

There are two NBT tags called MainGene and HiddenGene that determine the appearance and behavior of the panda (that will also be passed down to its offspring). There are 7 possible values for these NBT tags - normal, aggressive, lazy, worried, playful, weak, and brown.

These genes are either dominant or recessive (see table below). A dominant gene will always take priority over a recessive gene.

Based on the Main Gene and Hidden Gene, there are 7 dfferent pandas in Minecraft:

Basic Rules of Genes

1. If the Main Gene is dominant, the Hidden Gene (whether it is dominant or recessive) will be ignored and the Main Gene will always determine the panda's appearance and behavior.
2. If the Main Gene is recessive and the Hidden Gene is dominant, the Hidden Gene 'wins' and determines the appearance and behavior of the panda.
3. If you want to guarantee that a recessive gene 'wins', you should specify the recessive gene for both the Main Gene and the Hidden Gene. For example, if you want a brown and white panda, you should spawn the panda with 'brown' as both the Main Gene and Hidden Gene.
4. If you have 2 recessive genes, the Main Gene 'wins' and determines the appearance and behavior of the panda.

Determine the Panda Type based on Genes

Need help with Main and Hidden Genes? Try our tool below to see what type of panda you get when you enter a Main Gene and Hidden Gene:

Instructions: Select the Main Gene and Hidden Gene from the drop downs, and you will see the panda type in the green box.

Spawn Egg for Panda

You can spawn a panda using the following spawn egg:

Command Examples

Here are some game command examples for a panda in Minecraft:

NBT Tags for Panda (Java Edition)

Here are the NBT tags (formerly called data tags) that you can use in game commands for a panda in Java Edition:

Spawn Events for Panda (Bedrock/Education)

Here are the spawn events that you can use in game commands for a panda in Bedrock Edition and Education Edition:

Other Mobs

Pandas Min Of Two Series

Here are some of the other mobs in Minecraft: